A working session for project managers and team leads on integrating AI agents and copilots into project execution without losing control of scope, quality, or accountability. We treat AI as a non-human team member with real strengths and real failure modes, and we work through the decisions a PM must own: what to delegate, what to verify, what to never let an agent decide. The class is grounded in current practice - not hype - and draws on the EPM Doctrine's view of human judgment as the irreducible center of project work.
WHY SHOULD YOU ATTEND?
Your team is already using AI on your projects, with or without your blessing. If you are not deliberately managing how AI contributes - what it touches, what it cannot touch, who owns the output, and where human judgment is non-negotiable - you are not running the project. The AI is. And when something goes wrong, your name is still on the charter.
AREA COVERED
- What AI agents and copilots actually do well on projects - and where they consistently fail
- The new PM role: orchestrator of human and machine contributors
- Delegation decisions: tasks suitable for agents, tasks that require human judgment, and the gray zone in between
- Verification habits: how to review AI output without rubber-stamping it or rewriting everything yourself
- Accountability and traceability when an agent produces work product
- Status, risk, and stakeholder communication when part of the team is non-human
- Common failure patterns: over-trust, under-trust, scope drift via agent suggestions, and silent rework
- A simple framework for deciding, project by project, where AI belongs on your team
WHO WILL BENEFIT?
- Project Managers and Senior Project Managers
- Program Managers and Portfolio Managers
- Scrum Masters and Agile Coaches
- Team Leads and Technical Leads adopting AI tooling
- PMO Directors and Project Operations Managers
- Business Analysts working on AI-augmented teams
Your team is already using AI on your projects, with or without your blessing. If you are not deliberately managing how AI contributes - what it touches, what it cannot touch, who owns the output, and where human judgment is non-negotiable - you are not running the project. The AI is. And when something goes wrong, your name is still on the charter.
- What AI agents and copilots actually do well on projects - and where they consistently fail
- The new PM role: orchestrator of human and machine contributors
- Delegation decisions: tasks suitable for agents, tasks that require human judgment, and the gray zone in between
- Verification habits: how to review AI output without rubber-stamping it or rewriting everything yourself
- Accountability and traceability when an agent produces work product
- Status, risk, and stakeholder communication when part of the team is non-human
- Common failure patterns: over-trust, under-trust, scope drift via agent suggestions, and silent rework
- A simple framework for deciding, project by project, where AI belongs on your team
- Project Managers and Senior Project Managers
- Program Managers and Portfolio Managers
- Scrum Masters and Agile Coaches
- Team Leads and Technical Leads adopting AI tooling
- PMO Directors and Project Operations Managers
- Business Analysts working on AI-augmented teams
